Article
Environmental Sciences
Ilaria Cazzaniga, Giuseppe Zibordi, Frederic Melin
Summary: This study investigates the spectral features of remote sensing reflectance in marine waters during coccolithophore blooms by analyzing radiometric data from Ocean Color sites in the Western Black Sea. The results confirm an increase in reflectance in the blue-green spectral region during coccolithophore blooms, as well as a shift towards the blue as the blooms decline and coccoliths accumulate at the surface. It also highlights the challenges in determining bloom states in optically complex waters and compares satellite data with AERONET-OC radiometric data to show agreements in extreme conditions with significant concentrations of coccoliths.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Charlotte Begouen Demeaux, Emmanuel Boss
Summary: This study compared different algorithms for estimating the diffuse attenuation coefficient (K-d) using data from various satellites and measurements from autonomous profiling floats. The results showed that although the algorithms provided similar values to the floats, they produced statistically different distributions. The discrepancies were attributed to the limitations of the datasets used for algorithm development and the neglect of sun angle in some algorithms. The study highlights the importance of using comprehensive field-based datasets and considering sun angle for algorithm improvement.
Article
Environmental Sciences
F. Melin
Summary: The Ocean Color component of AERONET-OC has provided validation data sets for ocean color satellite data records. This study analyzed the residuals of remote sensing reflectance and aerosol optical thickness using the standard atmospheric correction algorithm l2gen, and validated the algorithm using data from seven AERONET-OC sites in European coastal regions. The results showed that the validation statistics were not sensitive to observation conditions, and the residuals were correlated between bands and missions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Toby K. Westberry, Greg M. Silsbe, Michael J. Behrenfeld
Summary: Phytoplankton photosynthesis and organic matter production play a crucial role in marine ecosystems, and satellite-based models for estimating GPP and NPP have been the most practical means to analyze their dynamics on a global scale. This review explores the efforts made in modeling GPP and NPP from remote sensing measurements, highlighting their scientific findings and discussing validation efforts. It also presents a vision for future research, identifying the remaining barriers to improving satellite estimates of GPP and NPP.
EARTH-SCIENCE REVIEWS
(2023)
Article
Geochemistry & Geophysics
Giuseppe Zibordi, Marco Talone, Frederic Melin
Summary: This study investigates the uncertainties of satellite ocean color products by using in situ radiometric data, and applies an advanced method to analyze the radiometric data products from Sentinel-3A and Suomi satellites. The results support the relevance of the proposed method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Ana Gabriela Bonelli, Hubert Loisel, Daniel S. F. Jorge, Antoine Mangin, Odile Fanton d'Andon, Vincent Vantrepotte
Summary: This study presents a new approach for estimating dissolved organic carbon (DOC) over the open ocean using an artificial neural network algorithm. By considering various factors such as optical water classes, sea surface temperature, mixed layer depth, absorption coefficient of dissolved organic matter, and chlorophyll-a concentration, the model successfully estimates DOC from satellite data and shows good agreement with in situ measurements. Additionally, the study provides insight into the contribution of particulate organic carbon (POC) to total organic carbon (TOC) over the global ocean.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Zigeng Song, Xianqiang He, Yan Bai, Xinyi Dong, Difeng Wang, Teng Li, Qiankun Zhu, Fang Gong
Summary: In this study, a new AC algorithm called OC-XGBRT was developed to retrieve Rrs(λ) in the presence of AA in the blue and ultraviolet bands. The algorithm, based on radiative simulation and machine learning, aims to improve the quality of ocean color satellite products over inland and coastal waters with AA. Validation and application results showed that OC-XGBRT outperformed other AC algorithms in terms of accuracy and spatial coverage of Rrs(412 nm) and Rrs(443 nm).
REMOTE SENSING OF ENVIRONMENT
(2023)
Review
Geosciences, Multidisciplinary
Eurico J. D'Sa, Maria Tzortziou, Bingqing Liu
Summary: Extreme events and disturbances have significant impacts on the carbon cycling in coastal oceans. Satellite remote sensing can greatly enhance our ability to monitor and quantify these impacts, especially in the coastal zone. This review discusses recent studies that have used a combination of field data, numerical models, and satellite observations to assess the effects of extreme events on carbon fluxes and cycling in the coastal zone.
EARTH-SCIENCE REVIEWS
(2023)
Article
Oceanography
Lachlan I. W. McKinna, Ivona Cetinic, P. Jeremy Werdell
Summary: This study explored the incorporation of algorithm and in situ measurement uncertainties into empirical ocean color model development. A simple algorithm for deriving the particulate backscattering coefficient was developed using a high-quality bio-optical dataset. The impact of measurement uncertainties on contemporary validation metrics like mean bias and mean absolute error was demonstrated.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Engineering, Electrical & Electronic
Alexander Akins, Shannon Brown, Tong Lee, Sidharth Misra, Simon Yueh
Summary: L-band microwave radiometers have been used to measure sea surface salinity from space for over a decade, with the expectation of continued measurement with the CIMR mission. This article presents a software simulator for remote sensing measurements of ocean state and applies it to case studies of SSS measurement in various regions, showcasing the impact of design choices on detecting SSS features.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Ilaria Cazzaniga, Giuseppe Zibordi, Frederic Melin, Ewa Kwiatkowska, Marco Talone, David Dessailly, Juan Gossn, Dagmar Mueller
Summary: This study assessed the performance of radiometric water products from the neural network in different marine regions and found that satellite data products exhibited varying accuracy for different types of water, especially for highly absorbing and clear waters.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Qingjun Song, Shuguo Chen, Lianbo Hu, Xi Wang, Xinhao Shi, Xueyin Li, Linke Deng, Chaofei Ma
Summary: This study reports on the implementation of two fixed platforms in the Yellow Sea and East China Sea using optical radiometry instruments to measure remote sensing reflectance and aerosol optical depth. The results show the consistency between the measurements from independent instruments and the data from other sites, allowing for the evaluation of satellite sensor accuracy. Two commonly used atmospheric correction processors are also evaluated in this study.
Article
Geography, Physical
Young Jun Kim, Daehyeon Han, Eunna Jang, Jungho Im, Taejun Sung
Summary: Salinity is a critical factor that affects the circulation and heat transport of oceans. Satellite remote sensing has been used to monitor sea surface salinity (SSS) since 2009. This study reviews the methods of retrieving SSS from satellites and provides guidelines for future research. The limitations and challenges of satellite-derived SSS are also discussed.
GISCIENCE & REMOTE SENSING
(2023)
Review
Environmental Sciences
Meisam Amani, Soroosh Mehravar, Reza Mohammadi Asiyabi, Armin Moghimi, Arsalan Ghorbanian, Seyed Ali Ahmadi, Hamid Ebrahimy, Sayyed Hamed Alizadeh Moghaddam, Amin Naboureh, Babak Ranjgar, Farzane Mohseni, Mohsen Eslami Nazari, Sahel Mahdavi, S. Mohammad Mirmazloumi, Saeid Ojaghi, Shuanggen Jin
Summary: This paper discusses the importance and wide applications of remote sensing systems in oceanographic research. Part I describes six application areas, while Part II provides a comprehensive review and discussion of nine additional areas, as well as various techniques and case studies.
Article
Geochemistry & Geophysics
Zigeng Song, Xianqiang He, Yan Bai, Difeng Wang, Fang Gong, Qiankun Zhu, Teng Li, Hao Li
Summary: Investigated the impact of the vertical distribution of absorbing aerosols on atmospheric correction and water-leaving radiance retrieval. Found high occurrence frequencies of absorbing aerosols over Sahara and Arabian Deserts, China, South-Central Africa, and Indian Peninsula. Developed a new aerosol classification algorithm and evaluated the effects on radiance and water-leaving radiance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Tamito Kajiyama, Davide D'Alimonte, Giuseppe Zibordi
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2019)
Article
Environmental Sciences
Gian Luigi Liberti, Davide D'Alimonte, Alcide di Sarra, Constant Mazeran, Kenneth Voss, Mark Yarbrough, Roberto Bozzano, Luigi Cavaleri, Simone Colella, Claudia Cesarini, Tamito Kajiyama, Daniela Meloni, Angela Pomaro, Gianluca Volpe, Chunxue Yang, Francis Zagolski, Rosalia Santoleri
Article
Environmental Sciences
Gavin Tilstone, Giorgio Dall'Olmo, Martin Hieronymi, Kevin Ruddick, Matthew Beck, Martin Ligi, Maycira Costa, Davide D'Alimonte, Vincenzo Vellucci, Dieter Vansteenwegen, Astrid Bracher, Sonja Wiegmann, Joel Kuusk, Viktor Vabson, Ilmar Ansko, Riho Vendt, Craig Donlon, Tania Casal
Article
Engineering, Ocean
Giuseppe Zibordi, Brent N. Holben, Marco Talone, Davide D'Alimonte, Ilya Slutsker, David M. Giles, Mikhail G. Sorokin
Summary: AERONET-OC supports ocean color activities globally with standardized measurements, including validation of satellite data products, assessment of atmospheric correction schemes, and evaluation of bio-optical models. The network expansion and representation of various water types ensure the accuracy of data products and validation activities.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2021)
Article
Optics
Davide D'Alimonte, Tamito Kajiyama, Giuseppe Zibordi, Barbara Bulgarelli
Summary: This study primarily investigates the impact of various sky-radiance and sea-surface models on the sea-surface reflectance factor rho, with results showing increased variability of rho with wind speed and sun elevation. A comparison with formally determined values reveals systematic differences, and implications for field measurements are discussed.
Article
Environmental Sciences
Vittorio E. Brando, Michela Sammartino, Simone Colella, Marco Bracaglia, Annalisa Di Cicco, Davide D'Alimonte, Tamito Kajiyama, Seppo Kaitala, Jenni Attila
Summary: This study improves the estimation of Chlorophyll-a concentration in the Baltic Sea using remote sensing technology, and analyzes the dynamics of phytoplankton in the Baltic Sea from 1998 to 2019, revealing the latitudinal variations in spring bloom phenology, early blooming in spring in the past two decades, and the spatiotemporal coverage of summer cyanobacterial blooms in the central and southern Baltic Sea.
Article
Geochemistry & Geophysics
Giuseppe Zibordi, Marco Talone, Frederic Melin
Summary: This study investigates the uncertainties of satellite ocean color products by using in situ radiometric data, and applies an advanced method to analyze the radiometric data products from Sentinel-3A and Suomi satellites. The results support the relevance of the proposed method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Frederic Melin, Paolo Colandrea, Pieter De Vis, Samuel E. Hunt
Summary: This study evaluates the impact of uncertainties associated with ancillary data on atmospheric correction outputs. The results show that perturbations in ancillary variables can lead to small but non-negligible variations in R-RS, emphasizing the importance of considering these uncertainties in the uncertainty budget of ocean color data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Ilaria Cazzaniga, Giuseppe Zibordi, Frederic Melin
Summary: This study investigates the spectral features of remote sensing reflectance in marine waters during coccolithophore blooms by analyzing radiometric data from Ocean Color sites in the Western Black Sea. The results confirm an increase in reflectance in the blue-green spectral region during coccolithophore blooms, as well as a shift towards the blue as the blooms decline and coccoliths accumulate at the surface. It also highlights the challenges in determining bloom states in optically complex waters and compares satellite data with AERONET-OC radiometric data to show agreements in extreme conditions with significant concentrations of coccoliths.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Frederic Melin
Summary: Uncertainty estimates are crucial for assessing ocean color products and confirming the consistency between satellite missions. Despite significant biases between the two missions, their R-RS products appear to be fairly compatible based on the uncertainties associated with field data and validation statistics.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Environmental Sciences
Giuseppe Zibordi, Ewa Kwiatkowska, Frederic Melin, Marco Talone, Ilaria Cazzaniga, David Dessailly, Juan Ignacio Gossn
Summary: This study summarizes the evaluation of Ocean Color Radiometry (OCR) data from the Ocean and Land Color Instruments (OLCI) onboard the Copernicus Sentinel-3 satellites. The evaluation results show discrepancies and differences in OLCI-A and OLCI-B data across different water types and viewing angles. The study calls for further development of atmospheric correction capability to improve the accuracy and reliability of the data.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Ocean
Giuseppe Zibordi, Davide D'Alimonte, Tamito Kajiyama
Summary: Quality control is essential for delivering high-quality data. A-QCLWN is an automated procedure that mimics the steps of an expert analyst in the final quality control of AERONET-OC data, and it has shown good performance and acceptance rates.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2022)
Article
Environmental Sciences
F. Melin
Summary: The Ocean Color component of AERONET-OC has provided validation data sets for ocean color satellite data records. This study analyzed the residuals of remote sensing reflectance and aerosol optical thickness using the standard atmospheric correction algorithm l2gen, and validated the algorithm using data from seven AERONET-OC sites in European coastal regions. The results showed that the validation statistics were not sensitive to observation conditions, and the residuals were correlated between bands and missions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Multidisciplinary Sciences
Jorge Emanuel Martins, Davide D'Alimonte, Joana Simoes, Sara Sousa, Eduardo Esteves, Nuno Rosa, Maria Jose Correia, Mario Simoes, Marlene Barros
Summary: This paper revisits the concept of Mind-life continuity and tests the symmetry between cognitive and electrophoretic strata using machine learning. The authors developed tools for better data visualization and exploration, resulting in the creation of a graphical user interface toolbox named MODeLING.Vis. This toolbox offers a machine-learning solution for probing into the neurocognitive response.
Article
Geochemistry & Geophysics
Ilaria Cazzaniga, Giuseppe Zibordi, Frederic Melin, Ewa Kwiatkowska, Marco Talone, David Dessailly, Juan Gossn, Dagmar Mueller
Summary: This study assessed the performance of radiometric water products from the neural network in different marine regions and found that satellite data products exhibited varying accuracy for different types of water, especially for highly absorbing and clear waters.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)